AGENTS.md · TheAlgorithms/Python
AGENTS.md from TheAlgorithms/Python: 63 lines covering Before opening a pull request, Code conventions (enforced by CI), Running the suite locally, Good agent…
Template by TheAlgorithms
Chalk Labs
Need help deploying AGENTS.md · TheAlgorithms/Python?
Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.
Install
Works with Codex, Cursor, GitHub Copilot, Gemini CLI, OpenCode, Claude Code. Read the repository before you give any tool access to your data.
curl -fsSL https://raw.githubusercontent.com/TheAlgorithms/Python/master/AGENTS.md -o AGENTS.md
Read it and adapt it to your project before use.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Use cases: prompt-engineering
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
What's in it
An AGENTS.md file: instructions coding agents (Codex, Cursor, Copilot, Gemini CLI and others) read before working in a repo.
- For
- Codex, Cursor, GitHub Copilot, Gemini CLI, OpenCode, Claude Code
- Length
- 63 lines
- File
AGENTS.md
Sections
- Before opening a pull request
- Code conventions (enforced by CI)
- Running the suite locally
- Good agent behavior
First lines (shown under the repo's MIT license)
# AGENTS.md Guidance for AI coding agents (and their humans) contributing to **TheAlgorithms/Python**. This complements — and never overrides — [`CONTRIBUTING.md`](CONTRIBUTING.md). Read that first. This repository is educational: implementations should be clear and correct rather than maximally optimized. Every change goes through CI and the `algorithms-keeper` bot, both of which reject non-conforming PRs automatically. ## Before opening a pull request - **Check at least one box in the PR description.** The `algorithms-keeper` bot **closes any PR whose "Describe your change" section has no checked box** (`* [x]`). Fill in the template that ships in `.github/pull_request_template.md` and tick every item that applies before you submit — this is the single most common reason automated PRs get closed. - **One algorithm file per PR.** Split unrelated changes into separate PRs to keep review focused. - **Don't change code and its doctests in the same PR.** If you're only updating tests, say so and touch nothing else. ## Code conventions (enforced by CI) - **Formatting & linting:** `ruff` (`uvx ruff check .` and `uvx ruff format .`). Run `uvx pre-commit run --all-files` locally to catch everything CI will. - **Type hints:** annotate every function parameter and return value with [type hints](https://docs.python.org/3/library/typing.html). - **Doctests:** every function needs at least one [doctest](https://docs.python.org/3/library/doctest.html) that passes under `python -m doctest -v your_file.py` (and `pytest`). - **Naming:** filenames are all-lowercase with underscores (no spaces or dashes); functions and variables follow standard Python naming. - **Placement:** new files go inside an existing directory. - **References:** new algorithms include a URL to Wikipedia or a comparable explanation. ## Running the suite locally This project is managed with [`uv`](https://docs.astral.sh/uv/) — there is no `requirements.txt`. Dependencies live in `pyproject.toml`/`uv.lock`, and `uvx` runs a tool in a throwaway environment without polluting yours: ```bash uvx pre-commit run --all-files # ruff, formatting, hooks uvx pytest your_module/your_file.py --doctest-modules ``` (`uv run pytest ...` works too if you'd rather use the project's locked environment.) Some directories are intentionally skipped in CI (`--ignore` entries in `.github/workflows/build.yml`), usually because a heavy dependency lacks a wheel for the CPython version the repo currently targets. Check that list before assuming a file is untested. ## Good agent behavior - Keep diffs minimal and scoped to the stated change. - Preserve existing style and structure; prefer clarity over cleverness. - Never fabricate doctest output — run it and paste the real result. - If CI is red, read the log and fix the cause rather than re-running blindly.
Signals
- Stars
- 225,492
- Forks
- 51,209
- Open issues
- 4
- Last commit (this folder)
- Aug 30, 2026 (2 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/TheAlgorithms/Python
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
Get AGENTS.md · TheAlgorithms/Python running in your business
Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.
Cite this page
AGENTS.md · TheAlgorithms/Python. Agent Mart. https://agentmart.dev/templates/thealgorithms-python-agents-md (last updated 2026-10-24)